The intention to adopt artificial intelligence for software testing by organisations in Klang Valley to achieve sustainable business performance

Khairuddin, Irni Eliana and Apandi, Noorizzati and Ahmad Uzir, Nora’ayu (2025) The intention to adopt artificial intelligence for software testing by organisations in Klang Valley to achieve sustainable business performance. Journal of Information and Knowledge Management (JIKM), 15 (2): 8. pp. 95-104. ISSN ISSN:2231-8836 ; E-ISSN:2289-5337

Official URL: https://journal.uitm.edu.my/ojs/index.php/JIKM

Identification Number (DOI): 10.24191/jikm.v15i2.8216

Abstract

This study investigates factors influencing the intention to adopt Artificial Intelligence (AI) for software testing among organisations in Klang Valley, Malaysia. As software grows more complex, traditional testing struggles to keep up, increasing interest in AI. Despite its benefits like better defect detection and faster releases, adoption remains limited. Using the Technology-Organisation-Environment (TOE) framework, this study examines the effects of technological, organisational, and environmental readiness. A survey of 219 software testers was analyzed using Structural Equation Modelling (SEM) via SmartPLS. Results show that organisational and environmental readiness strongly influences AI adoption, while technological readiness has a moderate effect. The findings provide useful insights for improving software testing and supporting sustainable business performance.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Khairuddin, Irni Eliana
UNSPECIFIED
Apandi, Noorizzati
UNSPECIFIED
Ahmad Uzir, Nora’ayu
n.uzir@uitm.edu.my
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HD Industries. Land use. Labor > Economic development. Development economics. Economic growth > Economic development projects
Divisions: Universiti Teknologi MARA, Selangor > Puncak Perdana Campus > Faculty of Information Management
Journal or Publication Title: Journal of Information and Knowledge Management (JIKM)
UiTM Journal Collections: UiTM Journals > International Journal of Information and Knowledge Management (JIKM)
ISSN: ISSN:2231-8836 ; E-ISSN:2289-5337
Volume: 15
Number: 2
Page Range: pp. 95-104
Keywords: Adoption Intention, Artificial Intelligence, Software testing, Technology Organisation, Environment (TOE)
Date: October 2025
URI: https://ir.uitm.edu.my/id/eprint/128256
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